Economist

Contribute to research on labor markets and skills in the context of economic growth.

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UNESCWA - Economic and Social Commission for Western Asia

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Application deadline 3 years ago: Monday 5 Dec 2022 at 23:59 UTC

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Overview

Contribute to research on labor markets and skills in the context of economic growth.

You have:

  • Master's degree in economics, social science, statistics, or related fields is required.
  • Minimum of 3 years of experience in conducting macroeconomics research including labor market analysis using econometrics is required.
  • Knowledge in STATA is required.
  • Knowledge of Machine Learning is desirable.
  • Experience in household surveys, firm-level surveys, and big data analysis is desirable.
  • Proven experience in economic data analysis, presentation, drafting, and visualization is desirable.
  • Knowledge in Python is desirable.
  • Fluency in written and spoken English and Arabic is required.

Result of Service The objective of this position is to work on research areas related to the ESCWA Skills Monitor, Labor markets, and economic growth.

Work Location UN House - ESCWA

Expected duration 6 months

Duties and Responsibilities The world is currently experiencing the Fourth Industrial Revolution. With this transition, the velocity of change and the sheer number of innovations are unprecedented. This revolution will inevitably eliminate many current lines of work yet has the capacity to bring in new lines of employment. The agility of this revolution makes the jobs of the future difficult to predict using traditional techniques. Given this background, this project will tackle three main issues:

o The lack of timely information to monitor the dynamism of the labor market needs. o The mismatch between human capital accumulation and labor market demand. o Labor market policies and regulations are mostly outdated and unprepared for the impact of automation on jobs in most ESCWA countries.

Almost all countries in the region are still heavily reliant on costly household/establishment survey data which is not carried out periodically. To assess job market policies, skill sets for newly created job categories that are and will continue to come about from the Fourth Industrial Revolution must be surveyed in a more innovative way. Without a new monitoring technique, information on the impact of technological change on available skill sets cannot be properly assessed. One finding that we can build on conventional survey (household establishment) results is that workers with higher educational attainment are expected to benefit the most from jobs in the formal sector if high-quality education is made available and better job market matching schemes are put in place. Looking at the ESCWA region, educational attainment over the past three decades, during which the region excelled in primary and secondary education (mid-skills), suggests that the population does not necessarily have adequate skills for newly created jobs. Also, in the absence of up-to-date and active labor market policies, the mismatch between market demand (especially in the formal sector) and education is translated into higher informal sector activities in most ESCWA countries.

This project is expected to provide a forum for ESCWA countries to prepare for the Fourth Industrial Revolution (FIR) while factoring in the number of jobs needed between now and the attainment of the 2030 Agenda. The key aim is to support ESCWA States for the upcoming change in jobs and skills due to technological advancements taking place while considering the national characteristics. Ultimately, we will help member states harness job opportunities emerging from the advent of newer technologies, while taming challenges to attain outcomes stated in SDG-8---support member states sustain economic growth (8.1), reach high levels of economic productivity (8.2), promote productive activities (8.3), attain full productive employment and decent work for all (8.5) and reduce the number of youths not in employment, education or training (8.6).

Under the supervision of the Team Leader of Future of Work Project and the overall guidance of the cluster lead, the Consultant will assist in assessing the Future of Work Skills Monitor. The Consultant will particularly help in country requests for features of the Skills Monitor, assess the job mismatch.

The Consultant will mainly contribute to the following areas:

1. Substantive research in areas related to the ‘Future of Work’ Project. This includes reviewing existing literature as a background analysis. 2. Update Economic analysis on the skills Monitor results on a monthly basis, including analysis of the results. 3. Conduct data analysis using (i) data from the ESCWA Skills Monitor and (i) data from different government hubs, including unemployment countries around the region (Country Profiles). 4. Train a Machine Learning models for labor market forecasting. 5. Provide Economic analysis for countries’ technical assistance. 6. Assist in technical assistance to Arab countries including in developing concept notes, training material, and country tailored policy research.

Qualifications/special skills A Master's degree in economics, or social science, statistics, or any other related fields is required. A minimum of 3 years of experience in conducting macroeconomics economic research including labor market analysis using econometrics is required. Knowledge in STATA is required. Knowledge of Machine learning is desirable. Experience in household surveys, Firm level survey, and Big Data analysis is desirable. Proven experience in economic data analysis, presentation, drafting, and visualization is desirable. Knowledge in Python is desirable.

Languages English and French are the working languages of the United Nations Secretariat. Arabic is also a working language of ESCWA. For the post advertised, fluency in written and spoken both English and Arabic is required.

No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.

Potential interview questions

Describe a time when you conducted a labor market analysis. What was your approach? This question assesses your practical experience in labor market analysis. Highlight your methodology and any data used.
What challenges have you faced in economic data analysis and how did you overcome them? The interviewer wants to understand your problem-solving skills in data analysis. Pro members can see the explanation.
Can you provide an example of how you utilized STATA in your previous work? Pro members can see the explanation. Pro members can see the explanation.
How do you stay updated with current trends in macroeconomics? Pro members can see the explanation. Pro members can see the explanation.
Describe your experience with machine learning and its application in labor market analysis. Pro members can see the explanation. Pro members can see the explanation.
Added 3 years ago - Updated 1 year ago - Source: careers.un.org